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What is NetSpring?

To achieve a thorough understanding of customer journeys and enhance attribution while gaining valuable cross-functional business insights, event data is frequently duplicated and transferred from product analytics platforms to data warehouses. This practice leads to discrepancies between the two systems: the isolated product analytics tools and the SQL/BI applications operating on the data warehouse. Compounding this issue, many BI tools are not optimized for analyzing event data effectively. NetSpring addresses these challenges by providing a unified self-service solution for product analytics that features BI-style ad hoc visual exploration, directly utilizing the data warehouse as the definitive source of information. Key Advantages: - GTM Teams: Access self-serve solutions to address pressing business inquiries without concerns over data accessibility. - Data & Analytics Teams: Enhance support for GTM teams with regulated self-service tools. - C-Suite: Utilize the data warehouse as the authoritative source for consistent outcomes, mitigating issues related to data duplication, reverse ETL, and security. Key Features: - Self-Service: A comprehensive library of behavioral analytics templates is available for users. - Analytical Power of BI: Enables users to engage in self-driven ad hoc visual exploration of data. - Warehouse-Native: Maintains rich business context while eliminating data duplication and enhancing accuracy, ensuring that insights are both reliable and actionable.

What is Motif Analytics?

Dynamic and captivating visual representations facilitate the identification of patterns within user interactions and business activities, providing deep insights into the core calculations involved. A succinct array of sequential tasks offers a broad range of features and detailed oversight, all accomplished in under ten lines of code. An adaptable query engine empowers users to seamlessly navigate the compromises between query precision, processing efficiency, and cost, tailoring the experience to their unique needs. Presently, Motif utilizes a custom domain-specific language called Sequence Operations Language (SOL), which we believe is more user-friendly than SQL while delivering superior functionality compared to a mere drag-and-drop interface. Furthermore, we have crafted a specialized engine aimed at boosting the efficiency of sequence queries, with a deliberate focus on sacrificing irrelevant accuracy that doesn't aid in decision-making, thereby enhancing query performance. This innovative strategy not only simplifies the user experience but also elevates the efficacy of data analysis, leading to more informed decision-making and better outcomes overall.

Media

Media

Integrations Supported

Amazon Redshift
Databricks Data Intelligence Platform
Google Cloud BigQuery
Snowflake

Integrations Supported

Amazon Redshift
Databricks Data Intelligence Platform
Google Cloud BigQuery
Snowflake

API Availability

Has API

API Availability

Has API

Pricing Information

$49/mo per seat
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

NetSpring

Date Founded

2019

Company Location

United States

Company Website

www.netspring.io

Company Facts

Organization Name

Motif Analytics

Date Founded

2022

Company Location

United States

Company Website

www.motifanalytics.com

Categories and Features

Mobile App Analytics

A/B Testing
Channel Attribution
Cohort Analysis
Funnel Analysis
In-App Events Tracking
Push Notifications
Retention Tracking
Revenue Tracking
Uninstall Tracking

Product Analytics

Attribution
Automatic Data Capture
Churn Reporting
Customer Feedback Collection
Customer Guidance
Customer Journey Analytics
Data Export
Data History Retention
Data Labeling
Product Engagement Scoring
Real-Time Data Analysis
Touchpoint Analytics
User Segmentation

Web Analytics

Campaign Management
Conversion Tracking
Form Analytics
Goal Tracking
Keyword Tracking
Multiple Site Management
Pageview Tracking
Referral Source Tracking
Site Search Tracking
Time on Site Tracking
User Interaction Tracking

Categories and Features

Data Visualization

Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery

Web Analytics

Campaign Management
Conversion Tracking
Form Analytics
Goal Tracking
Keyword Tracking
Multiple Site Management
Pageview Tracking
Referral Source Tracking
Site Search Tracking
Time on Site Tracking
User Interaction Tracking

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